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We are looking for a Senior Backend Engineer with a strong focus on Large Language Models (LLMs) to join one of our product squads. You’ll be responsible for designing, implementing, and optimising LLM-powered features, working closely with product managers, designers, and engineers to bring AI capabilities directly into our products. You’ll own the full lifecycle of LLM integration, from experimentation and prototyping, to production deployment, to ongoing optimisation. You’ll also help shape our AI architecture, ensuring that LLM features are scalable, efficient, and cost-effective. Our backend is written in Python, and you’ll use it alongside AI integration tools, APIs, and frameworks to create innovative features in areas such as personalisation, conversational interfaces, AI-assisted analytics, and automated decision-making.
Job Responsibility:
Work with product managers to understand user needs and translate them into AI-powered functionality
Design and build APIs, services, and workflows that integrate LLMs (both proprietary and open-source)
Implement prompt engineering, RAG pipelines, and model fine-tuning where required
Optimise AI inference performance, scalability, and cost-effectiveness
Ensure AI features meet high standards for security, reliability, and maintainability
Collaborate with other engineers to integrate AI features seamlessly into the wider system
Stay on top of emerging LLM technologies and best practices, running experiments and sharing knowledge across the team
Requirements:
Extensive production experience with Python in backend engineering
Proven experience integrating LLMs into applications via APIs or SDKs
Strong experience building and maintaining APIs for LLM-based features
Strong experience building and maintaining event-driven workflows
Strong experience building and maintaining business logic that consumes AI outputs
Strong experience building and maintaining integrations with 3rd party AI/ML platforms
Solid SQL and NoSQL experience (especially in AI data pipelines)
Production experience with Docker, ideally with Kubernetes or AWS Fargate/ECS/EKS
Experience deploying and maintaining AI services in cloud environments
Strong organisational skills and ability to deliver in a fast-paced, product-focused environment
Nice to have:
Familiarity with LangChain, LlamaIndex, or similar LLM orchestration frameworks
Experience with vector databases (e.g. Pinecone, Weaviate, FAISS, Elasticsearch)
Knowledge of prompt engineering and evaluation techniques
Knowledge of and experience with agentic workflows and MCP
Familiarity with cloud monitoring tools (e.g. Datadog) for AI systems
Interest in using AI to enhance developer productivity and product innovation
What we offer:
Fully remote working
Personal annual L&D Budgets with 600€ to spend on your development
Being at the forefront of an industry with new and exciting problems to solve
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